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Let's get real: Sales reps manage to spend just 30% of their time actually selling. The rest is lost to research, documentation, and an endless stream of admin work. Vivun's AI Sales Agent changes the game—delivering an extra 20 hours saved per deal and slashing deal cycles by 15%, but the real advantage only comes if you can trust the AI handling your most sensitive customer data. And trust is more critical than ever: 87% of security professionals say their organization faced some form of AI-driven cyber-attack in the last year. Deploying AI across your sales cycle doesn't just automate tasks—it opens new data channels, new attack surfaces, and new responsibilities for privacy that you can't afford to ignore.
AI in sales isn't just a promise—it's proven: faster cycles, sharper insights, and more time to invest in the human side of selling. But none of this matters if your AI ends up being the weak link. Real leaders in this space are the ones who make security and ethics central to their DNA—not last-minute additions.
Trust is paramount in enterprise sales. Customers hand over strategic plans, budgets, team structures, and critical business insight because they believe you’ll protect it. Bring AI into the mix, and that trust must now extend to your entire tech stack.
You don’t get a pass on AI security. Protecting sensitive data is table stakes if you want to operate ethically. One careless mistake—or worse, a breach—can blow up years of credibility. Lose a deal? That’s just the start. Erode trust, and you risk losing the whole account—and every future opportunity it could have spun off.
Ethics and compliance aren’t afterthoughts—they’re the drivers of how you build and launch AI. Start with tough questions, not shortcuts: How is data stored? Who can actually access it? Where does your responsibility start and end? Can you stand behind your AI’s decisions? Leaders ask these questions from day one, because this is about business strategy, not just technical plumbing.
AI brings a new slate of security challenges. 1 in every 80 GenAI prompts puts sensitive data at risk, and 7.5% of those prompts include information someone shouldn’t have shared. This isn’t theoretical risk—it’s your sales teams possibly exposing customer secrets in day-to-day AI tasks.
Shadow AI is an accelerant for risk. When employees grab unsanctioned AI tools to cut corners, they create blind spots you can’t see—or secure. Companies tangled up in shadow AI pay the price: $670,000 higher breach costs than their counterparts, totalling $5.01 million on average compared to $4.44 million globally.
And let’s not downplay the complexity: Supply chain attacks now account for 30% of AI security incidents. Add model inversion (24%), model evasions (21%), prompt injections (17%), and data poisoning (15%), and you’ve got a set of threats no traditional security program was built to handle. Only AI-specific protocols can tame this new frontier—slapping general IT controls onto AI isn’t enough.
Transparency, fairness, accountability: these aren’t buzzwords for the boardroom—they’re basic requirements for responsible AI. Customers deserve clarity on how AI shapes the sales journey. Your team needs signals—when is an AI suggestion just that, and when should a human override take the wheel?
Build fairness into your AI, so it never puts a thumb on the scale during deal prioritization or customer interactions. Assign real accountability—don’t let the system itself be a faceless fall guy when unintended mistakes occur. These aren’t just ethical stances; they’re the foundation for durable customer trust.
Ethical AI also means understanding boundaries. Just because AI can surface a pattern doesn’t mean every pattern belongs in your sales playbook. Exercising judgment and restraint is vital, especially when it comes to using—and protecting—data.
Certifications aren’t just about checking a box on a compliance form. They’re the independent validation that your security claims actually hold up. In AI sales, the best programs go beyond generic IT checklists—they incorporate both standard data protection and modern, AI-focused security frameworks.
Top-tier certifications require you to address data security, system reliability, and responsible development together. That’s how you secure every link in your tech stack, not just the obvious weak points.
At Vivun, we’ve architected our security strategy on a comprehensive suite of certifications that prove our commitment top to bottom. This isn’t lip service—it’s structural. Enterprise customers don’t just expect it; we demand it of ourselves.
ISO/IEC 42001 is the world’s first international standard built for AI management—rolled out in December 2023 to tackle head-on the complexities of AI from dev to deployment and beyond. This is not a hand-me-down framework; it was engineered specifically for the demands and risks of AI. See for yourself what ISO/IEC 42001 requires.
The standard mandates real transparency, ongoing oversight, and thorough impact assessments for every stage in the AI lifecycle—ethics, learning integrity, you name it. It ensures you’re not winging it as AI evolves, but instead running a disciplined, proactive program.
Vivun's AI Sales Agent, Ava, is the first AI Sales Agent globally to secure ISO/IEC 42001:2023 certification. This isn’t just a stamp for launch day: the certification affirms continuous monitoring, improvement, and commitment to responsible AI leadership that stands up to international scrutiny, year after year.
SOC 2 Type 2 doesn’t just check if you have security controls on paper; it measures if they actually work over time. Audits run for months, not hours, because security isn’t one-and-done—it’s a persistent discipline.
The audit covers everything from system security and uptime, to data integrity and privacy, mapped to the AICPA Trust Services Criteria. And for AI? This means you prove out data safeguards, encryption at every touchpoint, tough access controls, and constant monitoring for risk—every single day.
Third-party auditors deliver assured, factual evidence that controls are not only in place, but operating as claimed. That’s protection in action, not theory—both for Vivun and for our customers.
ISO 27001 turns information security into an operation—governing everything from staff training to infrastructure, and covering risks like data poisoning, model inversion, and bias in AI and machine learning environments.
This framework looks at all angles: who’s hired, what gets monitored, how incidents get handled. It’s the full-system defense that’s required when handling the world’s most sensitive commercial information, not just in the server room.
GPDR compliance brings another dimension: algorithmic transparency, privacy by design, and true consent mechanisms. GDPR 2025 is raising the bar even further—now mandating ethical governance and real accountability for AI-driven decisions.
Layering these standards creates a unified, rigorous governance structure for data and AI risk—so Vivun’s AI systems measure up against global benchmarks, not just local ones.
Strategic data management begins with full transparency: Know exactly what you’re collecting, where it lives, and who’s empowered to touch it. This isn’t paperwork—it’s operational discipline required for every meaningful AI initiative.
Role-based access controls keep the right eyes on the right data. If credentials get compromised, exposure is limited and easily audited. No unnecessary access, no avoidable mistakes.
Before launching high-stakes AI, smart organizations run Data Protection Impact Assessments (DPIAs). Why wait for an incident, when you can proactively find and mitigate risk?
The data backs it up: organizations using AI and automation at scale cut an average of $2.2 million off breach costs. Fully deployed security AI and automation shrink breach lifecycles by over 40%—a difference that’s measured in saved reputations and revenue.
Security isn’t something we delegate at Vivun—it’s embedded at every level. Our leadership team owns the mission, backed by experts who live and breathe security, compliance, and risk management.
We run formal governance committees to continually reassess and strengthen our controls—not just gloss over them. Every policy, every risk, every certification is reviewed and challenged so we don’t get complacent.
Certifications are the baseline. But we don’t stop there: third-party security firms push us further with regular penetration testing. We welcome scrutiny—encouraging ethical security research with our Vulnerability Disclosure Program.
As Jamie Brown, Chief Information Security Officer at Vivun, puts it: “Earning ISO/IEC 42001 is our public declaration of how seriously Vivun takes trust in every AI engagement. It’s not just about meeting standards—it’s about setting them.”
And let’s be clear: Vivun never uses customer data to train our proprietary AI models. Every client works in a protected, isolated environment. Data is locked down with advanced encryption—at rest, in transit, and at every checkpoint. Continuous monitoring keeps threat actors out, and gives customers peace of mind.
Vivun always aims higher than the minimum. We were early adopters of ISO 42001—most AI vendors aren’t even considering this level of governance yet. Maintaining SOC 2 Type 2? For us, it’s about real-world performance, not a box-checking exercise.
Every change we make is scrutinized for security impact. Vendors have to pass strict vetting, and customers get a say before any integration. Disaster recovery plans and business continuity processes are our default, not just “nice to have.”
Risk isn’t an occasional project—it’s always on our radar. Annual risk assessments, quarterly improvement cycles, constant threat monitoring. This is how serious companies stay ahead.
Our approach is relentless: continuous review, continuous enhancement, and a commitment to surpassing even the toughest standards. Every year, we move the bar higher—because enterprise AI deserves nothing less.
AI Sales Security isn’t a bolt-on module—it’s the foundation on which the best teams build. If you’re in the market for AI solutions, make security and ethics the first questions you ask—not the last.
Push your vendors to prove their credentials. Dig into their data policies and governance. Look for independent audits and ask for real customer feedback. Tough questions in the selection process weed out future headaches.
The most successful sales organizations are those that walk the line between speed and responsibility—automating what can be automated, but never losing sight of privacy, oversight, and the trust that underpins every deal.
Curious what truly secure, enterprise-grade AI Sales looks like in action? Check out how Vivun’s AI Sales Agent is setting standards for security and innovation, or explore our security certifications and practices—and see why when it comes to trusted AI, we’re leading the way.
